Embracing artificial intelligence in internal medicine: a tool for physicians and patients
References
- Esteva A, Kuprel B, Becker K, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 2019;542:115-8. DOI: https://doi.org/10.1038/nature21056
- Yang CC. Explainable artificial intelligence for predictive modeling in healthcare. J Healthcare Informatics Res 2022;6:228-39. DOI: https://doi.org/10.1007/s41666-022-00114-1
- Ouanes K. Generative artificial intelligence in healthcare: current status and future directions. Ital J Med 2024;18:1782 DOI: https://doi.org/10.4081/itjm.2024.1782
- Thacharodi A, Singh P, Meenatchi R, et al. Revolutionizing healthcare and medicine: the impact of modern technologies for a healthier future - a comprehensive review. Health Care Sci 2024;3:329-49. DOI: https://doi.org/10.1002/hcs2.115
- Varnosfaderani SM, Forouzanfar M. The role of AI in hospitals and clinics: transforming healthcare in the 21st century. Bioengineering 2024;11:337. DOI: https://doi.org/10.3390/bioengineering11040337
- Topol EJ. Deep medicine: how artificial intelligence can make healthcare human again. New York, NY, USA: Basic Books; 2019.
- Rony MKK, Akter K, Nesa L, et al. Healthcare workers’ knowledge and attitudes regarding artificial intelligence adoption in healthcare: a cross-sectional study. Helyion 2024;10:e40775. DOI: https://doi.org/10.1016/j.heliyon.2024.e40775
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